Conclusion: challenges for the future
نویسندگان
چکیده
منابع مشابه
Conclusion: challenges for the future
The title "Challenges for the Future" implies the challenge to summarize a very complex meeting. Of necessity, I will present a personal impression. My interest is in risk assessment, which I define as a process for summarizing science in support of decision making. Risk assessment is sometimes regarded as arcane numerology, a rigid process of computing risk numbers in which much available scie...
متن کامل5 Conclusion and Future Directions
We have introduced fast and eeective k-way partitioning solutions for the two regimes k n and k = (n). Our contributions include a new \partitioning-speciic" net model used in constructing the Laplacian of the netlist, the use of fast Lanczos implementations to compute the d-dimensional geometric embedding eeciently, and a careful choice of geometric clustering objectives and algorithms. We bel...
متن کامل6 Conclusion and Future Work
The construction of R, the process encapsulating the timing information, is not as eecient as it could be. Any method for making timing veriication more eecient, such as partial order reductions, could in principle be incorporated into our current scheme. We believe that our work will be useful in applications such as asynchronous circuits and hardware software co-design, where abstract descrip...
متن کامل5. Conclusion and Future Directions
A new declarative semantics for logic languages. In R. Optimizations of bottom-up evaluation with non-ground terms. In Miller 15], pages 557{574. 19 orthogonal to the type of program to which memoing is applied. With some care, they can be used in the context of full Prolog, speciied as we have suggested by a programmer controlled directive. The practicality of the special case of ground, multi...
متن کامل7 Conclusion and Future Work
15] A. Cumani. ESP-A package for the evaluation of stochastic Petri nets with phase-type distributed transitions times. modeling of an automated manufacturing system with deterministic and stochastic Petri nets. net analysis of a replicated le system.mated generation and analysis of Markov reward models using Stochastic Reward Nets. 16 of (000111; 1), which is set to seven. Then, we can solve t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Environmental Health Perspectives
سال: 1993
ISSN: 0091-6765,1552-9924
DOI: 10.1289/ehp.93101s6209